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Document type:
Konferenzbeitrag 
Author(s):
Florian Hauer, Ilias Gerostathopoulos, Tabea Schmidt, Alexander Pretschner 
Title:
Clustering Traffic Scenarios Using Mental Models as Little as Possible 
Abstract:
Test scenario generation for testing automated and autonomous driving systems requires knowledge about the recurring traffic cases, known as scenario types. The most common approach in industry is to have experts create lists of scenario types. This poses the risk both that certain types are overlooked; and that the mental model that underlies the manual process is inadequate. We propose to extract scenario types from real driving data by clustering recorded scenario instances, which are compos...    »
 
Book / Congress title:
PrePrint for the proceedings of IEEE Intelligent Vehicles Symposium 2020 
Year:
2020